Summary of Reddit Comments on "chat gpt jailbreaks"

ChatGPT and Jailbreaks

Users employ various techniques such as prompting with Morse code or specifying certain parameters to get ChatGPT to respond accordingly.
Some users discuss different platforms and tools for utilizing LLMs effectively, such as Openchat, Poe AI, and Yodayo for different purposes like coding, narrative writing, and NSFW content.
A site called Toolbaz is mentioned, but deemed not worth it due to issues with NSFW content availability.
LMStudio is recommended for running LLM models locally. Gemini is praised for its creativity and writing capabilities.
A new platform, Unlocked, is introduced for chatting with various LLM models.
Other tools like Deep Realms, FlowGPT, and SpicyChat are highlighted as effective alternatives.
Someone shares a clever jailbreak tactic involving a difficult test prompt to determine if the model is adhering to instructions.

Inappropriate Requests

Discussions about inappropriate requests for DDoS attacks, toppling terrorist regimes, and hacking society.
Encouragement towards using LLMs for more positive and legal purposes like coding, writing, or for personal amusement.
Expressions of surprise and disbelief at the nature of some requests and the potential misuse of AI's capabilities.

AI Manipulation

Amusement and intrigue at the clever manipulation of AI, such as using social engineering tactics to prompt certain responses.
Speculation on the fragility of rules and constraints implemented on powerful AI models.

Video Requests

Users expressing interest in viewing the video or requesting links to it for further exploration.
Several comments with requests to save the video for viewing purposes.

In summary, the Reddit comments showcase a range of discussions on the interactions, capabilities, and manipulation of AI language models like ChatGPT, along with considerations regarding appropriate usage and the potential consequences of inappropriate or malicious requests. Various tools, platforms, and jailbreak tactics are highlighted, demonstrating the diverse ways users engage with and explore the functionalities of LLMs.